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RapidMiner
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RapidMiner

Overview
Synopsis

RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.

Category

Predictive Analytics Software

Company

RapidMiner

Rating
Our Rating
User Rating
Ease of use
8.3
8.0
Features & Functionality
8.3
8.3
Advanced Features
8.3
8.1
Integration
8.3
7.9
Customer Support
8.3
8.4
Performance
8.3
8.4
Training
7.6
Implementation
7.4
Renew & Recommend
7.8
Bottom Line

RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.

8.3
Our Rating
8.0
User Rating
2 ratings
You have rated this

RapidMiner : RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development. RapidMiner supports all steps of the data mining process including results visualization, validation and optimization.RapidMiner uses a client/server model with the server offered as Software as a Service or on cloud infrastructures. RapidMiner provides data mining and machine learning procedures including: data loading and transformation, data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.

RapidMiner is written in the Java programming language. RapidMiner provides a GUI to design and execute analytical workflows. Those workflows are called “Process” in RapidMiner and they consist of multiple “Operators”. Each operator is performing a single task within the process and the output of each operator forms the input of the next one. The engine can be called from other programs or used as an API. Individual functions can be called from the command line. RapidMiner provides learning schemes and models and algorithms from Weka and R scripts that can be used through extensions.

RapidMiner functionality can be extended with additional plugins. The Rapid Miner Extensions marketplace provides a platform for developers to create data analysis algorithms and publish them to the community.

RapidMiner

RapidMiner

RapidMiner
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2 Reviews
  • Thomas Islington
    June 7, 2016 at 9:33 am

    Good plug and play analytics

    What is best ?

    Best to use plug and play. Easy to learn.

    What is not so best ?

    Limitations with data import

    Company size

    Medium (50 to 1000)

    User Role

    End User

    User Industry

    Health care

    Rating
    Ease of use8

    Features & Functionality8.3

    Advanced Features8.1

    Integration7.9

    Customer Support8.4

    Performance8.4

    Training 7.6

    Implementation7.4

    Renew & Recommend7.8

    ADDITIONAL INFORMATION
    Very easy plug and play analytics for datasets and identify interesting trends quickly. The analytical solution is through template-based frameworks that speed delivery and reduce errors by nearly eliminating the need to write code.

  • Kevin John
    July 16, 2016 at 1:31 pm
    What is best ?

    Community and data discovery, to experiment around data and predictions

    What is not so best ?

    Pay for licences, operator taxonomy, help files content

    User Role

    User Industry

    ADDITIONAL INFORMATION
    RapidMiner is good. It is easy to learn and the tool is very good for mid-level data savvy analysts.You need to do the data processing and also it has limitation on how much data you can import.

    Overall it is good for plug and play.

Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Training
Implementation
Renew & Recommend

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